getMLPrevalence

Compute Estimated Population Prevalence

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data.
Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data.
RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular.
Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.

Jean-Paul Fox

GLMMRR

Generalized Linear Mixed Model (GLMM) for Binary Randomized
Response Data

Konrad Klotzke

Duco Veen

getMLPrevalence function

<dl><dt>mu</dt>
<dd>observed mean response.</dd>
<dt>n</dt>
<dd>number of units.</dd>
<dt>c</dt>
<dd>randomized response parameter c.</dd>
<dt>d</dt>
<dd>randomized response parameter d.</dd></dl>

Arguments

Compute Estimated Population Prevalence — getMLPrevalence

<dl>

<dt>mu</dt>
<dd>observed mean response.</dd>


<dt>n</dt>
<dd>number of units.</dd>


<dt>c</dt>
<dd>randomized response parameter c.</dd>


<dt>d</dt>
<dd>randomized response parameter d.</dd>

</dl>

getMLPrevalence: Compute Estimated Population Prevalence

Description

Usage

Value

Arguments